What does memory database mean?

What is the meaning of in-memory database?

In-memory databases are purpose-built databases that rely primarily on memory for data storage, in contrast to databases that store data on disk or SSDs. In-memory data stores are designed to enable minimal response times by eliminating the need to access disks.

Why do we use in-memory database?

An in-memory database keeps all data in the main memory or RAM of a computer. A traditional database retrieves data from disk drives. In-memory databases are faster than traditional databases because they require fewer CPU instructions. They also eliminate the time it takes to access data from a disk.

What are three examples of in-memory databases?

List of In-Memory DatabasesOverview. In-memory databases rely on system memory as opposed to disk space for storage of data. ... H2 Database. ... HSQLDB (HyperSQL Database) ... Apache Derby Database. ... SQLite Database. ... In-Memory Databases in Spring Boot. ... Conclusion.

Should I use in-memory database?

The main use case for in-memory databases is when real-time data is needed. With its very low latency, RAM can provide near-instantaneous access to the needed data. Because of the potential data losses, in-memory databases without a persistence mechanism should not be used for mission-critical applications.